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Update README #464

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Update README #464

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -11,7 +11,7 @@ MLEM helps you package and deploy machine learning models.
It saves ML models in a standard format that can be used in a variety of production scenarios such as real-time REST serving or batch processing.

- **Run your ML models anywhere:**
Wrap models as a Python package or Docker Image, or deploy them to Heroku (SageMaker, Kubernetes, and more platforms coming soon).
Wrap models as a Python package or Docker Image, or deploy them to Heroku, SageMaker or Kubernetes (more platforms coming soon).
Switch between platforms transparently, with a single command.

- **Model metadata into YAML automatically:**
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